The MobiSpaces Manifesto on Mobility Data Spaces

Data spaces consist of trusted frameworks that manage the entire data lifecycle, encompassing various data models, metadata descriptors, ontologies for semantic interpretation, and data services for accessing, processing, and analyzing data. Domain-specific data spaces are currently being designed and deployed in vertical sectors, following specifications and reference frameworks that enable interoperability and compatibility. One such vertical sector with high impact on economy is mobility. In this paper, we present our position towards mobility data spaces, highlighting the idiosyncrasy of mobility data, while presenting the MobiSpaces approach that encompasses services for mobility data management and advanced mobility analytics. By exploiting MobiSpaces, mobility data providers can break the barrier of participation in data spaces thereby sharing their dataset with less hurdle, whereas data consumers can find advanced data analysis tools readily applicable on mobility data sets to extract insights and discover mobility patterns.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3685651.3685654
Citations
2
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.70

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article

The MobiSpaces Manifesto on Mobility Data Spaces

Yannis Theodoridis, Christos Doulkeridis, Georgios Makridis, Ioannis Chrysakis et al.
2 citations
Data Management and Algorithms
0.70
article

The MobiSpaces Manifesto on Mobility Data Spaces

Yannis Theodoridis, Christos Doulkeridis, Georgios Makridis, Ioannis Chrysakis, Σοφία Καραγιώργου, Pavlos Kranas
article en
2 citations

Abstract

Data spaces consist of trusted frameworks that manage the entire data lifecycle, encompassing various data models, metadata descriptors, ontologies for semantic interpretation, and data services for accessing, processing, and analyzing data. Domain-specific data spaces are currently being designed and deployed in vertical sectors, following specifications and reference frameworks that enable interoperability and compatibility. One such vertical sector with high impact on economy is mobility. In this paper, we present our position towards mobility data spaces, highlighting the idiosyncrasy of mobility data, while presenting the MobiSpaces approach that encompasses services for mobility data management and advanced mobility analytics. By exploiting MobiSpaces, mobility data providers can break the barrier of participation in data spaces thereby sharing their dataset with less hurdle, whereas data consumers can find advanced data analysis tools readily applicable on mobility data sets to extract insights and discover mobility patterns.

University of Piraeus (GR), Ghent University (BE), INTRASOFT International (Luxembourg) (LU), Acerinox (Spain) (ES), KU Leuven (BE)
European Commission, HORIZON EUROPE Digital, Industry and Space
Openalex Percentile: Top 31%
Data Management and Algorithms
0.70
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